Artificial Intelligence and Malignant Melanoma : A Review

Authors

DOI:

https://doi.org/10.47611/jsrhs.v11i3.2675

Keywords:

Artificial Intelligence (AI), Malignant Melanoma, Cancer Detection, Computer-Aided Diagnosis (CAD)

Abstract

Malignant Melanoma is the most deadly form of skin cancer and one of the most quickly expanding cancers in the world. Some of melanocytic nevi have a higher risk of developing malignant melanoma. Early diagnosis of melanoma is critical due to increasing survival rates, decreasing surgical removal and following disfigurement, and reducing the overall care costs. Although the golden standard is histopathologic examination of the excised suspicious lesion, there are a number of tools which allow a more detailed examination of the skin lesion. Artificial intelligence (AI) with its subfields (deep learning and machine learning) and imaging technologies have been incorporated in science and medicine. In dermatology, the rising incidence of melanoma, the benefits of early diagnosis, and the limited access to dermatologic services in some countries, have conduced  developing of image-based, automated diagnostic systems and the usage of either clinical or dermoscopic images. This article tries to overlook the studies in this field and give a general view of it.

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Author Biographies

Peyman Ramezanpour, NODET,Shahid Beheshti No.2

Peyman Ramezanpour is a junior high school student at NODET,Shahid Beheshti High School No.2 in the small town of Zanjan, Iran. He began doing research in computer science and physics as a freshman high school student and during his sophomore year he was able to collaborate with Optotech, a startup at IASBS Research and Technology Development Centre. During his summer internship at Optotech, he became interested in using AI in health care and disease detection. Although Iran's current educational system does not promote student research, Peyman is eager to work on various research projects. 

Shahram Sasani, NODET, Shahid Beheshti High School No.2

Shahram Sasani (Ph.D) is a physics teacher as well as the Research and Development Manager at NODET,Shahid Beheshti High School No.2 in Zanjan,Iran. He has been able to supervise dozens of student research programs in the past few years.

Shiva Golshahi Rad, Zanjan Dermatology Clinic

Shiva Golshahi Rad (MD) is a general practitioner who has previously worked as a researcher at Zanjan University of Medical Sciences Research Centre. She is currently working at Zanjan Dermatology Clinic as an assistant.

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Published

08-31-2022

How to Cite

Ramezanpour, P., Sasani, S. ., & Golshahi Rad, S. (2022). Artificial Intelligence and Malignant Melanoma : A Review . Journal of Student Research, 11(3). https://doi.org/10.47611/jsrhs.v11i3.2675

Issue

Vol. 11 No. 3 (2022)

Section

HS Review Articles

Copyright (c) 2022 Peyman Ramezanpour; Shahram Sasani, Shiva Golshahi Rad

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